Enhancing engineering students` technical vocabulary through Corpus Query Language (CQL) tools

Abstract

This article explores the potential of Corpus Query Language (CQL) tools in enhancing the technical vocabulary of engineering students within English for Specific Purposes (ESP) instruction. Based on a study conducted at a Ukrainian technical university, the paper presents a pedagogical model that integrates CQL-based corpus analysis into classroom practice. Real examples demonstrate how learners identified authentic lexical patterns and phraseological structures used in engineering discourse. The results show improved lexical competence, greater learner autonomy, and enhanced metalinguistic awareness. The study highlights the value of corpus-driven instruction for modernising ESP curricula in technical education.